Minimum Noise Fraction of Hyperspectral Remote Sensing in Parallel Computing Based on GPU

The most typical characteristic of hyperspectral remote sensing is the gigantic quantity of the data which is massive in practice.The modeling algorithm is so large that the traditional serial algorithm costs an extremely large compute time.This paper is research in the parallel processing technique that used in hyperspectral remote sensing data processing.Then it brings forward a basic flow of MNF parallel algorithmic based on GPU.At last,it makes a system experiment,the experiment results prove the validity of the algorithm.